November 2017
Intermediate to advanced
304 pages
6h 58m
English
Content preview from Machine Learning with TensorFlow 1.x
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Logical stopping points
Downloading our training file took a long time. Even extracting all the images took a while. To avoid repeating all this, we will try to do all the work just once and then create pickle files—archives of the Python data structures.
The following procedure runs through each class in our training and test set and creates a separate pickle file for each. In future runs, we'll just begin from here:
def makePickle(imgSrcPath):
data_folders = [os.path.join(tst_files, d) for d in os.listdir(tst_files) if os.path.isdir(os.path.join(tst_files, d))] dataset_names = [] for folder in data_folders: set_filename = folder + '.pickle' dataset_names.append(set_filename) print('Pickling %s.' % set_filename) dataset = loadClass(folder) ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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